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Research networks: can we use data from GPs' Electronic Health Records?

机译:研究网络:我们可以使用来自GPS的电子健康记录的数据吗?

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As widely discussed in the literature, there are many potential scientific usages of data extracted from the primary care Electronic Health Records (EHR), such as quality of care, epidemiological or socio-economical studies. Yet, can we use the current available data in the EHR for such purposes? In this paper, our objective is to report on the preliminary findings of the Belgian Reso Prim project (2003-2005) to answer the question. We set up a semi-anonymous network involving 26 current practices (28 volunteer GPs), 3 different EHR software systems and two Trusted Third Parties. Based on a literature overview we identified 27 research questions to be answered using 50 indicators. The study design includes retrospective (2002-2004) and prospective (6 weeks) data collection processes around the theme of "Hypertension and cardiovascular risk factors". For some data sets, the data extraction was a full automatic procedure, for some others, the data extraction was related to an input from the GPs allowing some comparisons between both procedures. At this stage, we performed an extended descriptive analysis of our data. Retrospectively we collected data related to 42,217 patients and 203,128 contacts. Prospectively we collected data for 9,236 patients and 15,234 contacts. Our main findings are briefly presented and discussed in this paper. The most promising fields seem to be the Health Research Information Systems assessment and the quality of care studies. It is quite too soon to reach the expected theoretical benefits for epidemiologic and socio-economic studies, yet some progresses could be made in relation with the denominator issue. Based on our preliminary findings and hypotheses, further analyses are foreseen during the second phase of the project (2006-2007).
机译:如文献中的广泛讨论,有许多从初级保健电子健康记录(EHR)提取的数据的潜在科学用法,例如护理质量,流行病学或社会经济研究。然而,我们可以使用EHR中的当前可用数据进行此目的吗?在本文中,我们的目标是报告Belgian Reso Prim项目(2003-2005)的初步调查结果来回答这个问题。我们建立了一个涉及26个当前实践(28个志愿者GPS)的半匿名网络,3个不同的EHR软件系统和两个可信的第三方。基于文献概述,我们确定了使用50个指标回答27个研究问题。研究设计包括回顾(2002-2004)和预期(6周)数据收集过程,围绕“高血压和心血管危险因素”主题。对于某些数据集,数据提取是一个完整的自动过程,对于某些其他数据,数据提取与来自GPS的输入有关,允许两种过程之间的一些比较。在此阶段,我们对我们的数据进行了扩展的描述性分析。回顾性地,我们收集了与42,217名患者和203,128名触点相关的数据。我们预期收集9,236名患者和15,234名触点的数据。本文简要介绍和讨论了我们的主要发现。最有前途的田野似乎是健康研究信息系统评估和护理质量。达到流行病学和社会经济研究的预期理论效果是非常久的,但有些进展可以与分母问题有关。根据我们的初步调查结果和假设,在项目的第二阶段(2006-2007)期间预见进一步分析。

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